Multimodal image fusion in sensor networks using independent component analysis

N Cvejic, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
311 Downloads (Pure)

Abstract

We present a novel image fusion algorithm based on ICA that has an improved performance over sensor networks. It employs segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from the given regions. Sparse coding of the coefficients in ICA domain is used to minimize noise transferred from input images into the fused output. Experimental results confirm that the proposed method outperforms other state-of- the-art methods in the sensor network environment, characterized by JPEG 2000 compression and data packetization
Translated title of the contributionMultimodal image fusion in sensor networks using independent component analysis
Original languageEnglish
Title of host publication15th International Conference on Digital Signal Processing, Cardiff
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages260 - 263
Number of pages4
ISBN (Print)1424408814, 1424408822
DOIs
Publication statusPublished - Jul 2007
Event15th International Conference on Digital Signal Processing - Cardiff, United Kingdom
Duration: 1 Jul 2007 → …

Conference

Conference15th International Conference on Digital Signal Processing
CountryUnited Kingdom
CityCardiff
Period1/07/07 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2007 IEEE. Reprinted from 15th International Conference on Digital Signal Processing, 2007.

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Keywords

  • image fusion
  • region-based fusion
  • independent component analysis
  • sensor networks
  • JPEG 2000

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